Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Paper
Publisher : IEEE Xplore
Source : In 2017 International Conference on Wireless Communications, Signal Processing and Networking (wispnet), (pp. 101–106). IEEE. DOI: 10.1109/WiSPNET.2017.8299728
Url : https://ieeexplore.ieee.org/document/8299728
Keywords : ABE, Adaptive Backhaul Equipment, backhaul links, backhaul network, Base Station network, Base stations, Boats, controller, fishermen fishing, fishing zone, hardware test-bed, heterogeneous network, Internet, Internet connectivity, Link Quality, long range communication system, marine communication, maritime communication network, maritime network, mesh network, Mesh networks, noise floor, OBLS algorithm, OceanNet, OceanNet Backhaul Link Selection algorithm, OceanNet project, OceanNet topology, off-shore boats, offshore fishing, optimal backhaul link selection, Signal to noise ratio, signal-to-noise ratio, telecommunication network topology, Telecommunication traffic, Wireless Backhaul network, wireless communication, Wireless Fidelity, wireless mesh networks
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Computing, School of Engineering
Center : AI (Artificial Intelligence) and Distributed Systems, Center for Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN), Computer Science
Year : 2017
Abstract : Offshore fishing is serving as a major livelihood for millions of people around the world. OceanNet project aims at developing an effective, low-cost, long range communication system to provide internet connectivity at the sea. Wireless Backhaul network is formed by connecting Base Station (BS) in the shore to the Adaptive Backhaul Equipment (ABE) in the boats. The fishermen fishing in a particular fishing zone form a cluster. A mesh network is formed in the clusters to improve the connectivity. In this work, OceanNet Backhaul Link Selection (OBLS) algorithm is implemented in a hardware test-bed that models the OceanNet topology to assess the feasibility of using this in the off-shore boats. It also proposes and implements a controller as a static node in the Base Station network which analyzes the connectivity based on signal strength, noise floor and link quality and selects the best backhaul links by redirecting the route from Access Routers to the ABE having good Signal-to-noise (SNR) ratio to reach the Base Station. The throughput tests analyzed demonstrate that the packet delivery ratio is improved to a large extent after the application of the OBLS algorithm.
Cite this Research Publication : J. P. Dhivvya, Rao, S. N., and Simi, S., “Analysis of optimal backhaul link selection in a novel maritime communication network”, In 2017 International Conference on Wireless Communications, Signal Processing and Networking (wispnet), (pp. 101–106). IEEE. DOI: 10.1109/WiSPNET.2017.8299728